"Google Fit" matching MCP servers:

Enables retrieving current weather, hourly and daily forecasts, and geocoding for cities via Google Maps Weather API, with a local dashboard for India metro areas.

Enables voice assistants to research and rank family outings by checking live web sources, hourly forecasts, park alerts, and drive times against each household member's needs. It remembers family profiles and past visits so every recommendation comes back with a per-member fit verdict.

Enables a voice assistant to research live web sources, hourly forecasts, weather alerts, park closures and drive times to rank outing candidates for a household. Returns a per-family-member fit verdict, plus tools for remembering a family's profile, visits and reviews across sessions.

Enables Claude to plan trips by performing live searches against Google Flights, hotels, vacation rentals, activities, and events, plus weather and currency conversion.

Provides utility tools including random jokes, current weather, and name-based age prediction.

Enables AI agents to plan weather-aware trips across Thailand by providing real-time sky conditions, area search, and weather-fit itinerary generation for 150+ locations through Arnfa's API.

MCP server that provides tools to access Google Maps Environment APIs for air quality, pollen, and weather data, enabling queries like current conditions, forecasts, and history.

A Model Context Protocol server that enables AI assistants to fetch current weather, forecasts, and search for locations using WeatherAPI service through stdio communication.

Provides 14 comprehensive tools for geocoding, navigation, and visual mapping using Google Maps APIs. It also offers detailed environmental data including weather forecasts, air quality indices, and solar irradiance for location-based analysis and trip planning.

A Node.js and TypeScript server project that provides a simple starter example with Express.js web server, supporting hot-reload, testing, and modular structure.

A Python MCP server providing weather and date tools for travel planning, compatible with Google ADK and Claude Desktop.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

Modular MCP hub hosting multiple read-only addons behind a single OIDC authentication layer, enabling agents to use services like Google Maps and transit APIs with server-side API key management.

Provides current weather information for Japanese cities using the Open-Meteo API. A sample MCP server built with FastAPI_MCP to demonstrate integrating MCP with FastAPI.

Enables rooftop solar installers to turn a CSV of tomorrow's booked jobs into a ranked crew schedule in Markdown and JSON, joining per-address geocoding, roof pitch/azimuth from the Google Solar API, hourly forecast checks against crew-safety thresholds, and estimated plane-of-array irradiance. Each job is returned as KEEP, MOVE (with a new same-day start) or SLIP, together with the specific rule that decided it.

An MCP server providing AI-powered weather tools via Google Generative AI, enabling real-time weather data retrieval through natural language queries.

Enables agents to fetch Google Pollen API forecasts and turn them into daily briefs with custom alert thresholds per pollen type or plant, returning compact JSON and Markdown.

A collection of MCP servers that connect AI assistants to Spanish open government data, including statistics, legislation, land registry, and weather forecasts.

Turns a site (address or lat/lng), a work window and a threshold profile into per-hour GO / MARGINAL / NO-GO decisions for field-ops, event and construction planning, pulling hourly and daily forecasts from the Google Weather API or the keyless US National Weather Service grid. Each hour is reported with the exact rule and value that tripped, alongside geocoding, outlook, current-conditions and profile-listing tools.

Enables users to get weather alerts and forecasts for U.S. locations using the National Weather Service API, with support for natural language queries including fun conversational tones.

An MCP server that uses Google Gemini and Playwright to fetch current weather for Israeli cities, extracting data from live websites to answer queries in Hebrew or English.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

Enables LLMs to fetch real-time, localized weather forecasts for Israeli cities by using Playwright to autonomously navigate and scrape weather2day.co.il, including handling Hebrew queries and stateful web interactions.

Enables natural language weather queries for cities in Israel and the United States, combining browser automation and official API retrieval.

Enables storing and retrieving weather forecasts with text and audio in Google Cloud SQL PostgreSQL, supporting full internationalization, TTL-based caching, and automatic expiration management.

MCP server that lets users obtain current Israeli city weather forecasts. It uses Playwright to browse Weather2day, extract the forecast page, and feed the cleaned data back to the LLM for natural language responses.

Provides real-time weather forecasts through an MCP server, using Google Gemini for AI-powered interactions and a Streamlit interface.

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.

Enables weather queries for US forecasts and alerts via the National Weather Service API, and Israeli weather forecasts through a Playwright-controlled browser, all through an interactive chat interface using OpenRouter and MCP.

Detects, monitors, and analyzes potential wildfires globally using NASA FIRMS, OpenWeatherMap, and Google Earth Engine data.